Abstract
According to China’s economic green ecological sustainability development requirement, the energy reform of China is mainly increasing the proportion of renewable energy, and reducing the proportion of fossil energy. It will continue to force China’s thermal power units, especially coal-fired thermal power units, to carry out the flexibility transformation and upgrading of deep peak shaving ability. Due to the different characteristics of coal-fired thermal power units, it is necessary to make flexible transformation decisions by a scientific and reasonable decision-making evaluation method, so as to provide references for the one machine-one policy flexibility transformation of thermal power units. In this paper, a decision-making evaluation index system for the flexibility transformation of coal-fired thermal power units under the demand of deep peak shaving is established. The index system considers the impact of deep peak shaving on the boilers, steam turbines, and auxiliary equipment of coal-fired thermal power units, as well as the effects of the peak shaving. A hybrid evaluation method combined set-valued iteration and GRA-TOPSIS is employed to obtain the weight of the indexes. Finally, an empirical research was conducted based on the index system and the hybrid evaluation method and targeted “one machine, one policy” recommendations were put forward for the flexibility transformation of the coal-fired thermal power units.
Highlights
China’s resource endowment is characterized by “rich coal, poor oil, and less gas”, which determines that China’s power generation structure has been dominated by coalfired power generation for a long time
In the decision-making of flexibility transformation of coal-fired units, it is necessary to consider that the operating state of coal-fired thermal power units during deep peak shaving may deviate from the design condition, which may lead to operational risks
Based on the index system and the hybrid evaluation method designed in this paper, 11 representative coal-fired thermal power units in 10 thermal power plants in Liaoning, Jilin, and Shaanxi provinces in China were selected for the case study on flexibility transformation decision-making
Summary
China’s resource endowment is characterized by “rich coal, poor oil, and less gas”, which determines that China’s power generation structure has been dominated by coalfired power generation for a long time. The overall strategy for the optimization of power generation structure in China will be to increase the proportion of renewable energy power generation, gradually reduce the proportion of coal-fired thermal power generation, and carry out peak shaving flexibility transformation for coal-fired thermal power plants [18]. With the gradual deepening of the reform on both sides of energy supply and demand in China, it is an inevitable trend for thermal power units to carry out the flexibility transformation of deep peak shaving. The rest of the paper is organized as follows: Section 2 provides the decision-making evaluation index system for flexibility transformation of the coal-fired thermal power units under deep peak shaving requirement.
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